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Business Strategy and the Environment, Volume 35, Issue 4, Page 5895-5925, May 2026.ABSTRACT This study examines the economic consequences of Digital Technologies Disclosure (DTD), focusing on its impact on the cost of capital. The increasing significance of digital transformation in shaping corporate strategies and market perceptions motivates the study.
Hussein Mohsen Saber Ahmed +2 more
wiley +1 more source
Meta-MapReduce: A Technique for Reducing Communication in MapReduce Computations
CoRR, 2015 MapReduce has proven to be one of the most useful paradigms in the revolution of distributed computing, where cloud services and cluster computing become the standard venue for computing. The federation of cloud and big data activities is the next challenge where MapReduce should be modified to avoid (big) data migration across remote (cloud) sites ...
Foto N. Afrati +3 more
openaire +2 more sources
Dynamically Iterative MapReduce [PDF]
, 2014 MapReduce is a distributed and parallel computing model for data-intensive tasks with features of optimized scheduling, flexibility, high availability, and high manageability.
Wei, Hsin-Wen +1 more
core +1 more source
Multithread Approximation: An OpenMP Constructor
Concurrency and Computation: Practice and Experience, Volume 38, Issue 4, February 2026.ABSTRACT This study introduces an OpenMP construct designed to simplify and unify the integration of approximate computing techniques into shared‐memory parallel programs. Approximate Computing leverages the inherent error tolerance of many applications to trade computational accuracy for gains in performance and energy efficiency.
João Briganti de Oliveira +2 more
wiley +1 more source
Pre-Processing and Modeling Tools for Bigdata
Foundations of Computing and Decision Sciences, 2016 Modeling tools and operators help the user / developer to identify the processing field on the top of the sequence and to send into the computing module only the data related to the requested result.
Hashem Hadi, Ranc Daniel
doaj +1 more source
Comparative Study Parallel Join Algorithms for MapReduce environment
Труды Института системного программирования РАН, 2018 There are the following techniques that are used to analyze massive amounts of data: MapReduce paradigm, parallel DBMSs, column-wise store, and various combinations of these approaches. We focus in a MapReduce environment.
A. Yu. Pigul
doaj +1 more source
Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study
Energy Science &Engineering, Volume 14, Issue 2, Page 935-961, February 2026.Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali +6 more
wiley +1 more source
e-Prime: Advances in Electrical Engineering, Electronics and EnergyA successful deployment of Industry 5.0 is significantly dependent on the synergetic integration of several advanced technologies such as big data processing, Artificial Intelligence (AI) integration, and several effective digitization techniques that ...
Arnab Mitra
doaj +1 more source
Experimenting sensitivity-based anonymization framework in apache spark
Journal of Big Data, 2018 One of the biggest concerns of big data and analytics is privacy. We believe the forthcoming frameworks and theories will establish several solutions for the privacy protection.
Mohammed Al-Zobbi +2 more
doaj +1 more source
Algorithms, 2021 Microwave imaging systems are currently being investigated for breast cancer, brain stroke and neurodegenerative disease detection due to their low cost, portable and wearable nature. At present, commonly used radar-based algorithms for microwave imaging
Rahmat Ullah, Tughrul Arslan
doaj +1 more source